DREAM.3D: A Digital Representation Environment for the Analysis of Microstructure in 3D

Groeber, Michael A.; Jackson, Michael

doi:10.1186/2193-9772-3-5

Cited by 802 publications

(356 citation statements)

References 4 publications

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“…The texture was nearly random with weak (< 2 times) random 1 1 1 and 1 0 0 components. The representative volume element (RVE) in our simulation was produced by DREAM3D (Groeber and Jackson, 2014). The RVE contained 191 grains and the grid size l 0 = 21.4 µm was chosen such that the initial average grain size matches the experimental value.…”

Section: Resultsmentioning

confidence: 99%

An integrated full-field model of concurrent plastic deformation and microstructure evolution: Application to 3D simulation of dynamic recrystallization in polycrystalline copper

Zhao

Low

Wang

et al. 2016

International Journal of Plasticity

105

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Many time-dependent deformation processes at elevated temperatures produce significant concurrent microstructure changes that can alter the mechanical properties in a profound manner. Such microstructure evolution is usually absent in mesoscale deformation models and simulations. Here we present an integrated full-field modeling scheme that couples the mechanical response with the underlying microstructure evolution. As a first demonstration, we integrate a fast Fourier transform-based elasto-viscoplastic (FFT-EVP) model with a phase-field (PF) recrystallization model, and carry out three-dimensional simulations of dynamic recrystallization (DRX) in polycrystalline copper. A physics-based coupling between FFT-EVP and PF is achieved by (1) adopting a dislocation-based constitutive model in FFT-EVP, which allows the predicted dislocation density distribution to be converted to a stored energy distribution and passed to PF, and (2) implementing a stochastic nucleation model for DRX. Calibrated with the experimental DRX stress-strain curves, the integrated model is able to deliver full-field mechanical and microstructural information, from which quantitative description and analysis of DRX can be achieved. It is suggested that the initiation of DRX occurs significantly earlier than previous predictions, due to heterogeneous deformation. DRX grains are revealed to form at both grain boundaries and junctions (e.g., quadruple junctions) and tend to grow in a wedge-like fashion to maintain a triple line (not necessarily in equilibrium) with old grains. The resulting stress redistribution due to strain compatibility is found to have a profound influence on the subsequent dislocation evolution and softening.

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Section: Resultsmentioning

confidence: 99%

An integrated full-field model of concurrent plastic deformation and microstructure evolution: Application to 3D simulation of dynamic recrystallization in polycrystalline copper

Zhao

Low

Wang

et al. 2016

International Journal of Plasticity

105

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“…By Voronoi construction realistic polycrystalline microstructures can be generated. A special interface allows for input of more complex synthetic microstructures, created by external tools like, e.g., Dream.3D [26,27] and made available in ASCII, VTK [4], and HDF5 [2, 3] file formats.…”

Section: Synthetic Microstructuresmentioning

confidence: 99%

An ICME Process Chain for Diffusion Brazing of Alloy 247

Böttger

Altenfeld

Laschet

et al. 2018

Integr Mater Manuf Innov

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A virtual process chain for diffusion brazing of Ni-based superalloys is presented for the example of Alloy 247. Besides phasefield simulation of different brazing processes, the chain includes solidification with equiaxed and columnar microstructures, heat treatment processes, and annealing and rafting of γ'-precipitates in 3D, as well as conversion of the resulting microstructures into finite element meshes for further evaluation of their properties by FE approaches. The challenges of setting-up a seamless simulation chain are discussed, and the importance of a correct and comprehensive handling of the relevant microstructural quantities is highlighted. Special focus is given to the initial specification and the further evolution of segregation patterns of the different alloying elements in this complex alloy system. The data describing these patterns may originate from experiments or may be generated by prior simulation runs. The description of phase transformations like melting, solidification, or precipitation further requires the simulation of diffusion of numerous chemical elements and their redistribution between existing and newly forming phases. Such multicomponent systems thus require thermodynamic and mobility data which typically are provided by Calphad-type computational tools and databases.

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“…The grain volumes were simply computed by counting the voxels belonging to particular grains. For the other characteristics, the voxelized grain boundaries were first transformed to fine triangular surface meshes, using the filters 'Quick Surface Mesh' and 'Laplacian Smoothing' from the DREAM.3D software library (Groeber and Jackson, 2014). Grain boundary surfaces were obtained by summing up the areas of the triangles of these meshes that correspond to given boundaries.…”

Section: Local Shape Characteristicsmentioning

confidence: 99%

Description of the 3d Morphology of Grain Boundaries in Aluminum Alloys Using Tessellation Models Generated by Ellipsoids

Šedivý

Dake²,

Krill³

et al. 2017

Image Anal Stereol

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Parametric tessellation models are often used to approximate complex grain morphologies of polycrystalline microstructures. A big advantage of such models is the substantial reduction in disk space required to store large, three-dimensional data sets, especially when compared with voxel-based alternatives. By selection of an appropriate tessellation model, a reasonably small loss of information on the real grain shapes can usually be achieved. Special attention has recently been devoted to models based on ellipsoidal approximations fitted to each grain. Faces of these tessellations are portions of quadric surfaces whose parameters can be derived easily. In this paper, we deal with geometric features of the structure, notably curvatures and dihedral angles, which are closely related to the kinetics of grain growth. These characteristics are computed for ellipsoidbased tessellations fitted to two different aluminum alloys with nominal composition Al-3 wt% Mg-0.2 wt% Sc and Al-1 wt% Mg. The results are then compared with estimations based on meshed empirical data. We observe that the model offers more consistent estimations of grain shape characteristics than do the meshed empirical data. Precise description of grain boundaries by the model is also promising with respect to possible applications of these tessellations in stochastic space-time modeling of grain growth.

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DREAM.3D: A Digital Representation Environment for the Analysis of Microstructure in 3D

Cited by 802 publications

References 4 publications

An integrated full-field model of concurrent plastic deformation and microstructure evolution: Application to 3D simulation of dynamic recrystallization in polycrystalline copper

An integrated full-field model of concurrent plastic deformation and microstructure evolution: Application to 3D simulation of dynamic recrystallization in polycrystalline copper

An ICME Process Chain for Diffusion Brazing of Alloy 247

Description of the 3d Morphology of Grain Boundaries in Aluminum Alloys Using Tessellation Models Generated by Ellipsoids

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